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Text Analysis of the Social Capital Literature Network ... - INSNA

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38 Building a Theory <strong>of</strong> <strong>Social</strong> <strong>Capital</strong> / Lin<br />

Ano<strong>the</strong>r prevailing measurement strategy focuses on network locations as measurements <strong>of</strong><br />

social capital . A major perspective is <strong>the</strong> argument that bridges or access to bridges facilitates<br />

returns in actions . Granovetter's notion <strong>of</strong> bridges as expressed in <strong>the</strong> strength <strong>of</strong> weak ties<br />

(1973) was a preview <strong>of</strong> this argument, which is elaborated and formalized by Burt in his<br />

notions <strong>of</strong> structural holes and constraints (1992) . O<strong>the</strong>r measures <strong>of</strong> bridges (e .g ., betweenness)<br />

would also be candidates for social capital, even though <strong>the</strong>y are used less in <strong>the</strong> social capital<br />

context .<br />

There are many o<strong>the</strong>r measures such as size, density, cohesion, and closeness <strong>of</strong> social networks<br />

which are candidates as measures for social capital . However, research evidence is much less<br />

clear as to <strong>the</strong>ir viability in a social capital <strong>the</strong>ory . Unless clear <strong>the</strong>oretical arguments are<br />

presented along with <strong>the</strong> use <strong>of</strong> any specific measures, as both measures <strong>of</strong> social resources and<br />

network locations have been, it would be ill-advised to simply use any network measure as an<br />

indicator <strong>of</strong> social capital .<br />

Sampling Techniques<br />

Three sampling techniques have been employed to construct measures <strong>of</strong> social capital, as can<br />

be seen in Table 4 . The saturation sampling technique is useful when it is possible to map a<br />

definable social network . In such networks, data from all nodes are ga<strong>the</strong>red and <strong>the</strong>ir<br />

relationships identified, and measurements <strong>of</strong> network locations can be developed . The<br />

advantage <strong>of</strong> this technique is that it allows detailed and complete analyses <strong>of</strong> each and every<br />

network location as well as embedded resources in each node . Because <strong>of</strong> <strong>the</strong> requirement that<br />

<strong>the</strong> network has a defined and manageable boundary, it is a technique most useful for studies<br />

<strong>of</strong> social capital within an organization or a small network among organizations .<br />

Table 4 . Measurement Techniques<br />

Technique Advantages Disadvantages<br />

Saturation<br />

survey<br />

Name generator<br />

Position<br />

I generator<br />

Complete mapping <strong>of</strong> network<br />

Customized content areas<br />

Ego-centered network mapping<br />

Content-free<br />

Sampling <strong>of</strong> hierarchical positions<br />

Multiple "resources" mapped<br />

Direct and indirect accesses<br />

Limited to small networks<br />

Lack <strong>of</strong> sampling frame<br />

Biased toward strong ties<br />

Lack <strong>of</strong> specificity <strong>of</strong><br />

relations<br />

For larger and less definable networks, ego-network sampling techniques are used . Typically,<br />

<strong>the</strong> name-generator technique (Laumann, 1966 ; Wellman, 1979 ; McCallister & Fischer, 1978 ;<br />

Burt, 1984; Marsden, 1987) is employed. This measurement technique elicits a list <strong>of</strong> ties from<br />

ego, and <strong>the</strong> relationships between <strong>the</strong>m as well as among <strong>the</strong>m are identified . From <strong>the</strong>se data,<br />

locations <strong>of</strong> ego as well as <strong>the</strong>se ties, relative to one ano<strong>the</strong>r, can be computed . <strong>Network</strong><br />

resources can also be obtained from <strong>the</strong> name-generator technique . Measures such as<br />

composition (typical resource characteristics), heterogeneity (diversity <strong>of</strong> resources), and upper<br />

reachability (best possible resources) can be computed . The advantages <strong>of</strong> this approach<br />

include (1) <strong>the</strong> identification <strong>of</strong> specific content areas, relative to actions under investigations,

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